{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "from os.path import dirname, realpath, join\n",
    "base_dir = dirname(dirname(os.getcwd()))\n",
    "import itertools\n",
    "import pandas as pd\n",
    "from os.path import join\n",
    "base_dir\n",
    "\n",
    "sys.path.insert(0, base_dir)\n",
    "from config_path import PROSTATE_DATA_PATH, PLOTS_PATH, GENE_PATH, PROSTATE_LOG_PATH, BASE_PATH\n",
    "from data.data_access import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from os.path import join\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "import matplotlib.patches as mpatches\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigmoid(x, L ,k, x0):\n",
    "    b=0.\n",
    "    c = -k*(x-x0)\n",
    "#     print c\n",
    "    a= np.exp(c)\n",
    "    y = L / (1. + a )+b\n",
    "    return (y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = join(PROSTATE_DATA_PATH, 'functional/Data S3 CRISPR and RO-5963 results.xlsx')\n",
    "df = pd.read_excel(filename, sheet_name='RO drug curves', header=[0,1], index_col=0)\n",
    "cols= ['LNCaP']*6 +['PC3']*6 +['DU145']*6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"6\" halign=\"left\">LNCaP</th>\n",
       "      <th colspan=\"6\" halign=\"left\">PC3</th>\n",
       "      <th colspan=\"6\" halign=\"left\">DU145</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RO-5963</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.001</th>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.080</th>\n",
       "      <td>1.167785</td>\n",
       "      <td>1.194631</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>0.965368</td>\n",
       "      <td>1.144144</td>\n",
       "      <td>1.240260</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>1.079646</td>\n",
       "      <td>1.188034</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.884298</td>\n",
       "      <td>0.828767</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>0.837438</td>\n",
       "      <td>0.995192</td>\n",
       "      <td>1.355263</td>\n",
       "      <td>1.049057</td>\n",
       "      <td>0.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.400</th>\n",
       "      <td>0.912752</td>\n",
       "      <td>0.986577</td>\n",
       "      <td>1.019355</td>\n",
       "      <td>0.757576</td>\n",
       "      <td>0.909910</td>\n",
       "      <td>1.590909</td>\n",
       "      <td>0.879699</td>\n",
       "      <td>1.415929</td>\n",
       "      <td>1.017094</td>\n",
       "      <td>1.075630</td>\n",
       "      <td>1.314050</td>\n",
       "      <td>0.828767</td>\n",
       "      <td>0.995098</td>\n",
       "      <td>1.083744</td>\n",
       "      <td>0.802885</td>\n",
       "      <td>1.565789</td>\n",
       "      <td>0.962264</td>\n",
       "      <td>0.817857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.000</th>\n",
       "      <td>0.543624</td>\n",
       "      <td>0.496644</td>\n",
       "      <td>0.406452</td>\n",
       "      <td>0.593074</td>\n",
       "      <td>0.486486</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.736842</td>\n",
       "      <td>1.150442</td>\n",
       "      <td>1.017094</td>\n",
       "      <td>0.789916</td>\n",
       "      <td>0.991736</td>\n",
       "      <td>0.780822</td>\n",
       "      <td>1.049020</td>\n",
       "      <td>1.054187</td>\n",
       "      <td>1.076923</td>\n",
       "      <td>1.519737</td>\n",
       "      <td>1.011321</td>\n",
       "      <td>0.732143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.000</th>\n",
       "      <td>0.040268</td>\n",
       "      <td>0.087248</td>\n",
       "      <td>0.077419</td>\n",
       "      <td>0.116883</td>\n",
       "      <td>0.058559</td>\n",
       "      <td>0.084416</td>\n",
       "      <td>0.819549</td>\n",
       "      <td>1.283186</td>\n",
       "      <td>0.982906</td>\n",
       "      <td>1.151261</td>\n",
       "      <td>0.917355</td>\n",
       "      <td>0.616438</td>\n",
       "      <td>0.901961</td>\n",
       "      <td>1.177340</td>\n",
       "      <td>0.889423</td>\n",
       "      <td>1.322368</td>\n",
       "      <td>1.030189</td>\n",
       "      <td>0.953571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            LNCaP                                                         PC3  \\\n",
       "RO-5963         1         2         3         4         5         6         1   \n",
       "0.001    1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "0.080    1.167785  1.194631  0.806452  0.965368  1.144144  1.240260  0.842105   \n",
       "0.400    0.912752  0.986577  1.019355  0.757576  0.909910  1.590909  0.879699   \n",
       "2.000    0.543624  0.496644  0.406452  0.593074  0.486486  0.727273  0.736842   \n",
       "10.000   0.040268  0.087248  0.077419  0.116883  0.058559  0.084416  0.819549   \n",
       "\n",
       "                                                              DU145            \\\n",
       "RO-5963         2         3         4         5         6         1         2   \n",
       "0.001    1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "0.080    1.079646  1.188034  1.000000  0.884298  0.828767  0.882353  0.837438   \n",
       "0.400    1.415929  1.017094  1.075630  1.314050  0.828767  0.995098  1.083744   \n",
       "2.000    1.150442  1.017094  0.789916  0.991736  0.780822  1.049020  1.054187   \n",
       "10.000   1.283186  0.982906  1.151261  0.917355  0.616438  0.901961  1.177340   \n",
       "\n",
       "                                                 \n",
       "RO-5963         3         4         5         6  \n",
       "0.001    1.000000  1.000000  1.000000  1.000000  \n",
       "0.080    0.995192  1.355263  1.049057  0.800000  \n",
       "0.400    0.802885  1.565789  0.962264  0.817857  \n",
       "2.000    1.076923  1.519737  1.011321  0.732143  \n",
       "10.000   0.889423  1.322368  1.030189  0.953571  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LNCaP', 'PC3', 'DU145']\n",
      "LNCaP\n",
      "(36,) (36,)\n",
      "<type 'numpy.ndarray'> <type 'numpy.ndarray'>\n",
      "[ 6.68441589e+03 -2.84655555e-01 -3.07022167e+01]\n",
      "PC3\n",
      "(36,) (36,)\n",
      "<type 'numpy.ndarray'> <type 'numpy.ndarray'>\n",
      "[ 1.01447956 -0.12637104 31.67597354]\n",
      "DU145\n",
      "(36,) (36,)\n",
      "<type 'numpy.ndarray'> <type 'numpy.ndarray'>\n",
      "[ 1.02883742 -0.60544549 46.38662482]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a235d4f90>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exps=['LNCaP', 'PC3', 'DU145']\n",
    "print exps\n",
    "colors={'LNCaP':'maroon', 'PC3':'#577399', 'DU145':'orange'}\n",
    "from sklearn import preprocessing\n",
    "\n",
    "fig, ax = plt.subplots(nrows=1, ncols=1, sharey=True, figsize=(5,4), dpi=200)\n",
    "\n",
    "    \n",
    "X= df.index.values\n",
    "legend_labels=[]\n",
    "legnds=[]\n",
    "for i, exp in enumerate(exps):\n",
    "    print exp\n",
    "    legend_labels.append(exp)\n",
    "    df_exp = df[exp].copy()\n",
    "    stdv = df_exp.std(axis=1)\n",
    "    mean = df_exp.mean(axis=1)\n",
    "    ydata=df_exp.values.flatten()\n",
    "    xdata = np.repeat(X, 6)\n",
    "    p0 = [1.0, -1., -.7]  # initial guess\n",
    "    print xdata.shape, ydata.shape\n",
    "    print type(xdata), type(ydata)\n",
    "    popt, pcov = curve_fit(sigmoid, xdata, ydata, p0,method='dogbox', maxfev=60000)\n",
    "    print popt\n",
    "    plt.errorbar(X,mean,yerr=stdv,fmt='o',ms=5,color=colors[exp],alpha=0.75,capsize=3, label=exp)\n",
    "    x2= np.linspace((min(xdata), max(xdata)), 10)\n",
    "    y2 = sigmoid( x2, *popt)\n",
    "    plt.plot(x2,y2,color=colors[exp],alpha=0.75, linewidth=2)\n",
    "\n",
    "    legnds.append(mpatches.Patch(color=colors[exp], label=exp))\n",
    "\n",
    "plt.xscale('log')\n",
    "plt.ylim((-.6, 1.6))\n",
    "plt.subplots_adjust(left=0.2, bottom=0.2, right=0.8)\n",
    "plt.ylabel('Relative Viability',fontdict=dict(family='Arial', weight='bold', fontsize=14) )\n",
    "plt.xlabel(u'\\u03bcM RO-5963',fontdict=dict(family='Arial', weight='bold', fontsize=14) )\n",
    "ax.spines['bottom'].set_position(('data',  0.))\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.yticks([-0.5, 0.0, 0.5, 1.0, 1.5])\n",
    "plt.xlim((.02,120))\n",
    "\n",
    "ax.legend( handles=legnds, bbox_to_anchor=(.9, 1.), framealpha=0.0)\n",
    "# plt.savefig(join(saving_dir,'drug_revision.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = join(PROSTATE_DATA_PATH, 'functional/revision/MDM4 inhibitor raw data and analysis files and figures and IC50_processed.xlsx')\n",
    "df = pd.read_excel(filename, sheet_name='drug1', header=[0], index_col=0)\n",
    "del df['DMSO']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lncap</th>\n",
       "      <th>lncap</th>\n",
       "      <th>lncap enza resis</th>\n",
       "      <th>lncap enza resis</th>\n",
       "      <th>lncap enza resis</th>\n",
       "      <th>DU145</th>\n",
       "      <th>DU145</th>\n",
       "      <th>DU145</th>\n",
       "      <th>PC3</th>\n",
       "      <th>PC3</th>\n",
       "      <th>...</th>\n",
       "      <th>LAPC4</th>\n",
       "      <th>LAPC4</th>\n",
       "      <th>C42</th>\n",
       "      <th>C42</th>\n",
       "      <th>C42</th>\n",
       "      <th>Lncap95</th>\n",
       "      <th>Lncap95</th>\n",
       "      <th>lncap abl</th>\n",
       "      <th>lncap abl</th>\n",
       "      <th>lncap abl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>-0.401947</td>\n",
       "      <td>-0.323123</td>\n",
       "      <td>-0.065778</td>\n",
       "      <td>0.017940</td>\n",
       "      <td>0.057735</td>\n",
       "      <td>0.658093</td>\n",
       "      <td>0.770558</td>\n",
       "      <td>0.595654</td>\n",
       "      <td>0.350867</td>\n",
       "      <td>0.261995</td>\n",
       "      <td>...</td>\n",
       "      <td>0.568333</td>\n",
       "      <td>0.306182</td>\n",
       "      <td>0.103952</td>\n",
       "      <td>0.103983</td>\n",
       "      <td>0.071175</td>\n",
       "      <td>-0.207861</td>\n",
       "      <td>-0.052880</td>\n",
       "      <td>-0.192154</td>\n",
       "      <td>-0.313307</td>\n",
       "      <td>-0.233192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3.888127</td>\n",
       "      <td>0.962400</td>\n",
       "      <td>24.987382</td>\n",
       "      <td>19.431317</td>\n",
       "      <td>29.131129</td>\n",
       "      <td>89.970929</td>\n",
       "      <td>94.426486</td>\n",
       "      <td>86.376885</td>\n",
       "      <td>77.924378</td>\n",
       "      <td>60.254384</td>\n",
       "      <td>...</td>\n",
       "      <td>73.570900</td>\n",
       "      <td>73.161264</td>\n",
       "      <td>10.031772</td>\n",
       "      <td>10.309963</td>\n",
       "      <td>9.391223</td>\n",
       "      <td>0.939925</td>\n",
       "      <td>1.111003</td>\n",
       "      <td>21.235064</td>\n",
       "      <td>14.228184</td>\n",
       "      <td>9.640904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55.392715</td>\n",
       "      <td>61.099841</td>\n",
       "      <td>75.776567</td>\n",
       "      <td>58.445491</td>\n",
       "      <td>84.887146</td>\n",
       "      <td>101.617166</td>\n",
       "      <td>101.542053</td>\n",
       "      <td>96.976257</td>\n",
       "      <td>91.170830</td>\n",
       "      <td>73.090210</td>\n",
       "      <td>...</td>\n",
       "      <td>88.162709</td>\n",
       "      <td>92.355347</td>\n",
       "      <td>72.422293</td>\n",
       "      <td>73.469215</td>\n",
       "      <td>59.732967</td>\n",
       "      <td>73.644727</td>\n",
       "      <td>57.401877</td>\n",
       "      <td>60.911878</td>\n",
       "      <td>64.903473</td>\n",
       "      <td>58.039848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.1</th>\n",
       "      <td>56.411899</td>\n",
       "      <td>74.916610</td>\n",
       "      <td>83.574475</td>\n",
       "      <td>69.343828</td>\n",
       "      <td>99.687687</td>\n",
       "      <td>88.506993</td>\n",
       "      <td>100.233102</td>\n",
       "      <td>101.400794</td>\n",
       "      <td>93.252515</td>\n",
       "      <td>78.118755</td>\n",
       "      <td>...</td>\n",
       "      <td>87.366560</td>\n",
       "      <td>93.083072</td>\n",
       "      <td>100.490810</td>\n",
       "      <td>96.473823</td>\n",
       "      <td>61.663648</td>\n",
       "      <td>91.632548</td>\n",
       "      <td>86.800207</td>\n",
       "      <td>90.580851</td>\n",
       "      <td>99.737405</td>\n",
       "      <td>91.700682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.01</th>\n",
       "      <td>64.683923</td>\n",
       "      <td>80.110959</td>\n",
       "      <td>84.576746</td>\n",
       "      <td>69.414747</td>\n",
       "      <td>101.845128</td>\n",
       "      <td>89.432962</td>\n",
       "      <td>104.079263</td>\n",
       "      <td>102.476443</td>\n",
       "      <td>96.393058</td>\n",
       "      <td>74.861748</td>\n",
       "      <td>...</td>\n",
       "      <td>88.725894</td>\n",
       "      <td>91.954979</td>\n",
       "      <td>96.620146</td>\n",
       "      <td>95.570618</td>\n",
       "      <td>59.693645</td>\n",
       "      <td>89.056607</td>\n",
       "      <td>88.593950</td>\n",
       "      <td>90.266427</td>\n",
       "      <td>91.229148</td>\n",
       "      <td>88.697173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.001</th>\n",
       "      <td>109.362322</td>\n",
       "      <td>93.770960</td>\n",
       "      <td>91.225524</td>\n",
       "      <td>69.465407</td>\n",
       "      <td>105.678989</td>\n",
       "      <td>94.131229</td>\n",
       "      <td>107.683373</td>\n",
       "      <td>109.371999</td>\n",
       "      <td>96.027506</td>\n",
       "      <td>79.842612</td>\n",
       "      <td>...</td>\n",
       "      <td>88.091027</td>\n",
       "      <td>99.823372</td>\n",
       "      <td>92.141281</td>\n",
       "      <td>96.027630</td>\n",
       "      <td>73.399380</td>\n",
       "      <td>83.527954</td>\n",
       "      <td>90.914871</td>\n",
       "      <td>86.065280</td>\n",
       "      <td>89.837370</td>\n",
       "      <td>78.759580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.0001</th>\n",
       "      <td>108.106101</td>\n",
       "      <td>93.823215</td>\n",
       "      <td>91.416431</td>\n",
       "      <td>69.417281</td>\n",
       "      <td>100.139995</td>\n",
       "      <td>97.665527</td>\n",
       "      <td>104.605249</td>\n",
       "      <td>108.453497</td>\n",
       "      <td>93.396584</td>\n",
       "      <td>76.369567</td>\n",
       "      <td>...</td>\n",
       "      <td>90.771317</td>\n",
       "      <td>97.428237</td>\n",
       "      <td>92.326055</td>\n",
       "      <td>97.522150</td>\n",
       "      <td>62.178618</td>\n",
       "      <td>91.755215</td>\n",
       "      <td>86.512650</td>\n",
       "      <td>96.528028</td>\n",
       "      <td>98.844553</td>\n",
       "      <td>84.868182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1e-05</th>\n",
       "      <td>79.568819</td>\n",
       "      <td>89.161880</td>\n",
       "      <td>89.936890</td>\n",
       "      <td>67.021321</td>\n",
       "      <td>101.679993</td>\n",
       "      <td>91.711994</td>\n",
       "      <td>101.996295</td>\n",
       "      <td>106.792602</td>\n",
       "      <td>93.891789</td>\n",
       "      <td>81.049461</td>\n",
       "      <td>...</td>\n",
       "      <td>94.155582</td>\n",
       "      <td>93.285611</td>\n",
       "      <td>92.809156</td>\n",
       "      <td>104.082827</td>\n",
       "      <td>59.497016</td>\n",
       "      <td>83.624330</td>\n",
       "      <td>82.110430</td>\n",
       "      <td>103.244518</td>\n",
       "      <td>99.435404</td>\n",
       "      <td>97.237792</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             lncap      lncap  lncap enza resis  lncap enza resis  \\\n",
       "100      -0.401947  -0.323123         -0.065778          0.017940   \n",
       "10        3.888127   0.962400         24.987382         19.431317   \n",
       "1        55.392715  61.099841         75.776567         58.445491   \n",
       "0.1      56.411899  74.916610         83.574475         69.343828   \n",
       "0.01     64.683923  80.110959         84.576746         69.414747   \n",
       "0.001   109.362322  93.770960         91.225524         69.465407   \n",
       "0.0001  108.106101  93.823215         91.416431         69.417281   \n",
       "1e-05    79.568819  89.161880         89.936890         67.021321   \n",
       "\n",
       "        lncap enza resis       DU145       DU145       DU145        PC3  \\\n",
       "100             0.057735    0.658093    0.770558    0.595654   0.350867   \n",
       "10             29.131129   89.970929   94.426486   86.376885  77.924378   \n",
       "1              84.887146  101.617166  101.542053   96.976257  91.170830   \n",
       "0.1            99.687687   88.506993  100.233102  101.400794  93.252515   \n",
       "0.01          101.845128   89.432962  104.079263  102.476443  96.393058   \n",
       "0.001         105.678989   94.131229  107.683373  109.371999  96.027506   \n",
       "0.0001        100.139995   97.665527  104.605249  108.453497  93.396584   \n",
       "1e-05         101.679993   91.711994  101.996295  106.792602  93.891789   \n",
       "\n",
       "              PC3    ...          LAPC4      LAPC4         C42         C42  \\\n",
       "100      0.261995    ...       0.568333   0.306182    0.103952    0.103983   \n",
       "10      60.254384    ...      73.570900  73.161264   10.031772   10.309963   \n",
       "1       73.090210    ...      88.162709  92.355347   72.422293   73.469215   \n",
       "0.1     78.118755    ...      87.366560  93.083072  100.490810   96.473823   \n",
       "0.01    74.861748    ...      88.725894  91.954979   96.620146   95.570618   \n",
       "0.001   79.842612    ...      88.091027  99.823372   92.141281   96.027630   \n",
       "0.0001  76.369567    ...      90.771317  97.428237   92.326055   97.522150   \n",
       "1e-05   81.049461    ...      94.155582  93.285611   92.809156  104.082827   \n",
       "\n",
       "              C42    Lncap95    Lncap95   lncap abl  lncap abl  lncap abl  \n",
       "100      0.071175  -0.207861  -0.052880   -0.192154  -0.313307  -0.233192  \n",
       "10       9.391223   0.939925   1.111003   21.235064  14.228184   9.640904  \n",
       "1       59.732967  73.644727  57.401877   60.911878  64.903473  58.039848  \n",
       "0.1     61.663648  91.632548  86.800207   90.580851  99.737405  91.700682  \n",
       "0.01    59.693645  89.056607  88.593950   90.266427  91.229148  88.697173  \n",
       "0.001   73.399380  83.527954  90.914871   86.065280  89.837370  78.759580  \n",
       "0.0001  62.178618  91.755215  86.512650   96.528028  98.844553  84.868182  \n",
       "1e-05   59.497016  83.624330  82.110430  103.244518  99.435404  97.237792  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df.T\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('drugs.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'lncap abl',\n",
       " u'lncap enza resis',\n",
       " u'C42',\n",
       " u'PC3',\n",
       " u'LAPC4',\n",
       " u'lncap',\n",
       " u'DU145',\n",
       " u'Lncap95']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exps= list(set(df.columns))\n",
    "exps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "current_palette = sns.color_palette()\n",
    "n_exp= len(exps)\n",
    "colors = {}\n",
    "for i, e in enumerate(exps):\n",
    "    colors[e] =current_palette[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = {\n",
    "'lncap abl':'#919191', \n",
    " 'lncap enza resis':'#942192', \n",
    " 'C42':'#73FA79',\n",
    " 'PC3':'#0633FF', \n",
    " 'LAPC4':'#F92F93', \n",
    " 'lncap':'#000000', \n",
    " 'DU145':'#FB9400',\n",
    " 'Lncap95':'#C0C0C0'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['lncap abl',\n",
       " 'C42',\n",
       " 'lncap enza resis',\n",
       " 'lncap',\n",
       " 'PC3',\n",
       " 'LAPC4',\n",
       " 'DU145',\n",
       " 'Lncap95']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors.keys()\n",
    "# exps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lncap abl\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "lncap enza resis\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "C42\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "PC3\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "LAPC4\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "lncap\n",
      "[100, 13.888888750000001, -0.3, 0]\n",
      "DU145\n",
      "[100, 13.88888875, -0.3, 0]\n",
      "Lncap95\n",
      "[100, 13.888888750000001, -0.3, 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.stats import sem\n",
    "from sklearn import preprocessing\n",
    "\n",
    "fig, ax = plt.subplots(nrows=1, ncols=1, sharey=True, figsize=(5,4), dpi=200)\n",
    "\n",
    "def sigmoid(x, L ,x0, k, b):\n",
    "    y = L / (1. + np.exp(-k*(x-x0)))+b\n",
    "    return (y)\n",
    "\n",
    "# def sigmoid(x, L ,k, x0):\n",
    "#     b=0.\n",
    "#     c = -k*(x-x0)\n",
    "#     a= np.exp(c)\n",
    "#     y = L / (1. + a )+b\n",
    "#     return (y)\n",
    "\n",
    "\n",
    "# exps =['lncap']\n",
    "exps= list(set(df.columns))\n",
    "# exps.remove('PC3')\n",
    "# exps =['DU145'] \n",
    "X= df.index.values\n",
    "# X=[100,10,1,0.1,0.01]\n",
    "legend_labels=[]\n",
    "legnds=[]\n",
    "for i, exp in enumerate(exps):\n",
    "    print exp\n",
    "    legend_labels.append(exp)\n",
    "    df_exp = df.loc[X,exp].copy()    \n",
    "    x = df_exp.values #returns a numpy array\n",
    "    x_scaled= x\n",
    "    stdv = x_scaled.std(axis=1)\n",
    "    mean = x_scaled.mean(axis=1)\n",
    "    ydata=df_exp.values.flatten()\n",
    "    X= X.astype(float) \n",
    "    n_repeats = df_exp.shape[1]\n",
    "    xdata = np.repeat(X, n_repeats)\n",
    "    xdata= xdata.astype(float) \n",
    "    ydata= ydata.astype(float)\n",
    "\n",
    "\n",
    "#     p0 = [max(ydata), np.mean(xdata),-.5,min(ydata)] # this is an mandatory initial guess\n",
    "#     popt, pcov = curve_fit(sigmoid, xdata, ydata,p0, method='dogbox',maxfev=100000)\n",
    "    \n",
    "    p0 = [100, np.mean(xdata),-.3,0] # this is an mandatory initial guess\n",
    "#     p0=[100, -1.5, 0.1]\n",
    "    print p0\n",
    "    popt, pcov = curve_fit(sigmoid, xdata, ydata,p0, method='dogbox',maxfev=20000)\n",
    "\n",
    "    plt.errorbar(X,mean,yerr=stdv,fmt='o',ms=5,color=colors[exp],alpha=0.75,capsize=3, label=exp)\n",
    "    x2= np.linspace((min(xdata), max(xdata)), 10)\n",
    "    y2 = sigmoid( x2, *popt)\n",
    "    plt.plot(x2,y2,color=colors[exp],alpha=0.75, linewidth=2)\n",
    "\n",
    "    legnds.append(mpatches.Patch(color=colors[exp], label=exp))\n",
    "#     plt.yticks([0, 25, 5 ,75, 100])\n",
    "\n",
    "plt.xscale('log')\n",
    "# plt.ylim((-.6, 1.6))\n",
    "plt.subplots_adjust(left=0.2, bottom=0.2, right=0.8)\n",
    "plt.ylabel('Cell proliferation (% Control)',fontdict=dict(family='Arial', weight='bold', fontsize=12) )\n",
    "plt.xlabel(u'RO-5963 (\\u03bcmol/L)',fontdict=dict(family='Arial', weight='bold', fontsize=12) )\n",
    "ax.spines['bottom'].set_position(('data',  0.))\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.yticks([0, 25, 50, 75, 100,])\n",
    "plt.xlim((.005,120))\n",
    "plt.ylim((.0,130))\n",
    "# ax.legend( handles=legnds,  framealpha=0.0, loc='upper center', ncol=3, prop={'size': 6})\n",
    "ax.legend( handles=legnds,  framealpha=0.0, bbox_to_anchor=(.7, 1.2), ncol=3, prop={'size': 6})\n",
    "\n",
    "\n",
    "plt.savefig('drug1.png', dpi=200)\n",
    "# ax.legend( handles=legnds, bbox_to_anchor=(.9, 1.), framealpha=0.0, loc='upper center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:min_env]",
   "language": "python",
   "name": "conda-env-min_env-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
